Perimattic Vector Database Development Services

Perimattic helps organizations build scalable AI applications through enterprise-grade Vector Database Development Services on AWS. Our team designs, deploys, and manages vector databases that power semantic search, Retrieval-Augmented Generation (RAG), recommendation engines, AI agents, and generative AI applications.

We work with leading vector database technologies including Amazon OpenSearch Service (vector search), PostgreSQL with pgvector, Milvus, Weaviate, ChromaDB, Neo4j, Pinecone integrations, and other vector-capable databases to deliver fast, accurate, and scalable similarity search solutions.

Our services include:

• Vector Database Consulting
• Vector Database Architecture
• Semantic Search Development
• RAG Pipeline Development
• Knowledge Base Implementation
• Embedding Generation Pipelines
• AI Search Infrastructure
• LLM Integration
• AI Agent Memory Systems
• Database Performance Optimization
• Data Migration
• Monitoring & Observability
• Security & Access Control
• Managed Vector Database Services

Whether you are building enterprise AI assistants, document search platforms, recommendation engines, or intelligent knowledge management systems, Perimattic delivers production-ready vector database solutions that improve retrieval accuracy, reduce latency, and scale seamlessly on AWS.